* old composio Gmail component * Update gmail_composio.py * [autofix.ci] apply automated fixes * Removed input types from secret input * Changed starter projects * Update gmail_composio.py * composio base * [autofix.ci] apply automated fixes * updated composio with multi output * [autofix.ci] apply automated fixes * fix lint errors * [autofix.ci] apply automated fixes * Added sortableList and connect to frontend types constant * Added AuthInput to backend and frontend constant * Added auth input to InputTypes and added show = false by default * fix: Update Composio icon (#7407) fix: update Composio icon dimensions and simplify SVG structure * Fix amber color * Fix button and voice assistant button to use correct design and colors * Fixed button design to include bg * remove bg definition from voice assistant * Added auth input to composio base * Added helper text to sortable list * Add unlink icon * Add node connection button * Changed to isPolling * [autofix.ci] apply automated fixes * Added auth tooltip * Added auth tooltip to mixinn * Add auth mixin to input * update the field visibility * Fixed disconnect * Update composio_base.py * Updated node status to show correct statuses * Added handling for API errors and disconnections * limit to dataframe output * add basic tests for base and gmail component * fix lint errors * 📝 (test files): Remove unnecessary blank lines to improve code readability and consistency. * Add result_field to GMAIL_FETCH_EMAILS action and change how result key is used * fix: Add validation for result structure in ComposioGmailAPIComponent * fix: Ensure result is a list of dicts before converting to DataFrame in ComposioBaseComponent * feat: Introduce get_result_field option for Gmail actions to control result retrieval behavior * Fixed status not updating in real time * Added default API value to Composio * Made sortableList only be openable if no helper text is present * fix: Update validation logic in ComposioGmailAPIComponent to incorporate get_result_field option for improved result handling * Fixed bug where pre-filled Global Variable didn't trigger login * refactor: Remove commented-out output definitions in ComposioBaseComponent for cleaner code * refactor: Clean up ComposioGmailAPIComponent by removing outdated comments for improved readability * ✨ (NodeStatus/index.tsx): refactor getConnectionButtonClasses and getConnectionIconClasses functions to improve code readability and maintainability * ♻️ (NodeStatus/index.tsx): refactor getConnectionButtonClasses and getConnectionIconClasses functions to use arrow function syntax for better readability and maintainability * 🔧 (NodeStatus/index.tsx): define constants POLLING_TIMEOUT and POLLING_INTERVAL for better readability and maintainability * ✨ (ListSelectionComponent): Add dataTestId prop to ListItem component for better testing 📝 (NodeStatus): Refactor data-testid value to be dynamically generated based on node status 📝 (searchBarComponent): Add data-testid attribute to search input for testing purposes 📝 (sortableListComponent): Add data-testid attribute to button for opening list selection ♻️ (utils.ts): Add testIdCase function to convert string to snake_case for test ids 📝 (composio.spec.ts): Add various test cases for interacting with composio component * ✨ (test_gmail.py): add MagicMock import to fix missing dependency for testing 🔧 (test_gmail.py): refactor execute_action method to return a structure compatible with component's logic ♻️ (test_gmail.py): refactor _build_wrapper method to return a mock for the toolset ✨ (test_gmail.py): add patching for _actions_data to ensure correct structure for GMAIL_FETCH_EMAILS 🔧 (test_gmail.py): refactor execute_action method to return mock data for testing as_dataframe method 🔧 (test_gmail.py): refactor as_dataframe method to handle mock email data and verify DataFrame content 🔧 (test_gmail.py): refactor execute_action method to return mock data for testing update_build_config method 🔧 (secretKeyModal/index.tsx): remove unused imports and clean up the file structure * [autofix.ci] apply automated fixes --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Lucas Oliveira <lucas.edu.oli@hotmail.com> Co-authored-by: Deon Sanchez <69873175+deon-sanchez@users.noreply.github.com> Co-authored-by: Lucas Oliveira <62335616+lucaseduoli@users.noreply.github.com> Co-authored-by: cristhianzl <cristhian.lousa@gmail.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> |
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| docker_example | ||
| docs | ||
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| src | ||
| test-results | ||
| .composio.lock | ||
| .env.example | ||
| .eslintrc.json | ||
| .gitattributes | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| DEVELOPMENT.md | ||
| eslint.config.js | ||
| LICENSE | ||
| Makefile | ||
| pyproject.toml | ||
| README.md | ||
| render.yaml | ||
| uv.lock | ||
Langflow is a powerful tool for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and a built-in API server that turns every agent into an API endpoint that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.
✨ Highlight features
- Visual Builder to get started quickly and iterate.
- Access to Code so developers can tweak any component using Python.
- Playground to immediately test and iterate on their flows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability.
⚡️ Quickstart
Langflow works with Python 3.10 to 3.13.
Install with uv (recommended)
uv pip install langflow
Install with pip
pip install langflow
📦 Deployment
Self-managed
Langflow is completely open source and you can deploy it to all major deployment clouds. Follow this guide to learn how to use Docker to deploy Langflow.
Fully-managed by DataStax
DataStax Langflow is a full-managed environment with zero setup. Developers can sign up for a free account to get started.
⭐ Stay up-to-date
Star Langflow on GitHub to be instantly notified of new releases.
👋 Contribute
We welcome contributions from developers of all levels. If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.